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Explaining Residential Clustering of Large Families
Numerous studies have shown that fertility behavior is spatially clustered. In addition to pure contextual effects, two causal mechanisms could drive this pattern. First, neighbors may influence each other's fertility and second, family size may influence decisions about where to live. In this...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Netherlands
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10115922/ https://www.ncbi.nlm.nih.gov/pubmed/37074468 http://dx.doi.org/10.1007/s10680-023-09655-6 |
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author | Bergsvik, Janna Cools, Sara Hart, Rannveig K. |
author_facet | Bergsvik, Janna Cools, Sara Hart, Rannveig K. |
author_sort | Bergsvik, Janna |
collection | PubMed |
description | Numerous studies have shown that fertility behavior is spatially clustered. In addition to pure contextual effects, two causal mechanisms could drive this pattern. First, neighbors may influence each other's fertility and second, family size may influence decisions about where to live. In this study we examine these two potential causal mechanisms empirically, using the sex composition of the two eldest children and twin births as instrumental variables (IVs) for having a third child. We estimate how having a third child affects three separate outcomes: the fertility of neighbors; the propensity to move houses; and the likelihood of living in a family-friendly neighborhood with many children. We draw residential and childbearing histories (2000–2018) from Norwegian administrative registers (N ~ 167,000 women). Individuals' neighborhoods are defined using time-varying geocoordinates for place of residence. We identify selective moves as one plausible causal driver of residential clustering of large families. This study contributes to the understanding of fertility and relocation, and to the literature on the social interaction effects of fertility, by testing the relevance of yet another network: that of neighbors. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s10680-023-09655-6. |
format | Online Article Text |
id | pubmed-10115922 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Springer Netherlands |
record_format | MEDLINE/PubMed |
spelling | pubmed-101159222023-04-21 Explaining Residential Clustering of Large Families Bergsvik, Janna Cools, Sara Hart, Rannveig K. Eur J Popul Original Research Numerous studies have shown that fertility behavior is spatially clustered. In addition to pure contextual effects, two causal mechanisms could drive this pattern. First, neighbors may influence each other's fertility and second, family size may influence decisions about where to live. In this study we examine these two potential causal mechanisms empirically, using the sex composition of the two eldest children and twin births as instrumental variables (IVs) for having a third child. We estimate how having a third child affects three separate outcomes: the fertility of neighbors; the propensity to move houses; and the likelihood of living in a family-friendly neighborhood with many children. We draw residential and childbearing histories (2000–2018) from Norwegian administrative registers (N ~ 167,000 women). Individuals' neighborhoods are defined using time-varying geocoordinates for place of residence. We identify selective moves as one plausible causal driver of residential clustering of large families. This study contributes to the understanding of fertility and relocation, and to the literature on the social interaction effects of fertility, by testing the relevance of yet another network: that of neighbors. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s10680-023-09655-6. Springer Netherlands 2023-04-19 /pmc/articles/PMC10115922/ /pubmed/37074468 http://dx.doi.org/10.1007/s10680-023-09655-6 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Original Research Bergsvik, Janna Cools, Sara Hart, Rannveig K. Explaining Residential Clustering of Large Families |
title | Explaining Residential Clustering of Large Families |
title_full | Explaining Residential Clustering of Large Families |
title_fullStr | Explaining Residential Clustering of Large Families |
title_full_unstemmed | Explaining Residential Clustering of Large Families |
title_short | Explaining Residential Clustering of Large Families |
title_sort | explaining residential clustering of large families |
topic | Original Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10115922/ https://www.ncbi.nlm.nih.gov/pubmed/37074468 http://dx.doi.org/10.1007/s10680-023-09655-6 |
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